1. The ECB Survey of Professional Forecasters Luca Onorante European Central Bank* (updated from A. Meyler and I.Rubene) October 2009 *The views and opinions expressed are those of the presenter and not necessarily those of the ECB

2. 2 (1) main features of the ECB SPF (2) evaluation of short-term forecasts and performance to date (3) forecast uncertainty as viewed by SPF participants (4) longer-term expectations Outline of the presentation

3. 3 quarterly survey conducted since 1999Q1 euro area macroeconomic expectations for HICP inflation, real GDP growth and the unemployment rate short- and more medium- and longer-term horizons surveyed (including rolling and calendar year horizons) probability distributions qualitative answers also possible survey panel of financial and non-financial institutions 75 active panellists (with average response of around 60) located throughout the EU Main features of the SPF panel

4. 4 (2) evaluation of short-term forecasts and performance to date

5. 5 inflation persistently under-forecast results broadly similar for one- and two-year ahead forecasts can largely be explained by specific shocks to food and energy Summary: inflation forecasting performance

6. 6 Summary: GDP growth forecasting performance persistence in growth forecast errors larger for two-year ahead errors (which are smoother) mean error sensitive to data vintage

7. 7 little bias on average but persistent errors on real-time data slightly lower on average Summary: unemployment forecasting performance

8. 8 Short-term forecasting and performance: Main conclusions Large and persistent errors with evidence of bias However, sample period (1999-2008) characterised by substantial shocks Considerable heterogeneity across forecasters, but difficult to identify consistently good or bad ones Little evidence of systematic differences across types of forecaster or nationality of forecaster

9. 9 (3) Macroeconomic uncertainty according to the SPF

10. 10 Different measures of uncertainty The SPF provides several dimensions to measure uncertainty e.g. Using information about point estimates e.g. spread or standard deviation of point estimates Using information about probability distribution e.g. average std. dev. of individual or aggregation distributions, skew or kurtosis of distributions, event probability, etc.

11. 11 Short-term GDP growth uncertainty Level of disagreement 0.35 p.p. on average, but fluctuated in range 0.2 p.p. to 0.6 p.p.

12. 12 Short-term GDP growth uncertainty Level of disagreement 0.35 p.p. on average, but fluctuated in range 0.2 p.p. to 0.6 p.p. Individual uncertainty has been slightly higher, around 0.5 p.p. on average, and more stable

13. 13 Short-term GDP growth uncertainty Level of disagreement 0.35p.p. on average, but fluctuated in range 0.2p.p. to 0.6p.p. Individual uncertainty has been slightly higher, around 0.5p.p. on average, and more stable Aggregate uncertainty has averaged around 0.6p.p., with cyclical movements mainly driven by disagreement Respondents appear not to have captured fully nature and extent of actual uncertainty, particularly when one takes into consideration upward bias (see Stuart & Ord 1994) in uncertainty measures above – this is a general result across variables and horizons22

14. 14 Uncertainty correlates strongly with other business cycle indicators GDP growth and unemployment uncertainty indicators from SPF correlate strongly with other proxies such as: - implied stock market volatility - business/consumer tendency surveys

15. 15 (4) Longer-term inflation expectations of SPF participants

16. 16 Longer-term inflation expectations Average longer-term inflation expectations in line with ECB definition of price stability; also less dispersed over time Euro area SPF US SPF

17. 17 Longer-term growth and unemployment expectations GDP growth Unemployment rate Balance of risks to longer-term growth expectations has generally been judged to the downside, while those for the unemployment rate have been to the upside For longer-term unemployment expectations there has been considerable correlation between revisions to short-term expectations and longer-term expectations, indicating SPF respondents perceive significant hysteresis

18. 18 Evidence of persistent errors and possible bias in inflation, growth and unemployment rate expectations from professional forecasters (small sample caveat). Errors are comparable with those in other surveys (e.g. Consensus Economics). Notwithstanding significant heterogeneity in forecast accuracy (MSE) across survey participants, errors are largely common across forecasters. Dispersion of point forecasts provides a poor indication of the true level of uncertainty. Beyond point forecasts, SPF also provides insight into other aspects such as uncertainty and longer-term expectations. Some evidence that SPF respondents appear not to have captured fully nature and extent of actual macroeconomic risks Overall empirical expectations in line with the recent emphasis on learning and sticky information rather than fully rational expectations. Concluding comments

19. The ECB Survey of Professional Forecasters

20. 20 1 Frequency of the updates and data

21. 21 2a Role of judgment Number of respondents reporting: judgment = 100% HICP inflationGDP growthUnemployment rate Short term (one year or less) 558 Medium term (up to two years) 667 Long term (five years ahead) 1089 Note: calculations include responses with 100% judgement.

22. 22 2b Model versus judgement HICP InflationGDP growth Unemployment rateWhat model do you use? Note: calculations exclude responses with 100% judgement.

23. 23 3 Probability distributions Do you report the mean, mode or median of the probability distribution? How do you generate your reported probability distribution?

24. 24 4 External assumptions – how derived? Oil pricesExchange rate ECB’s interest rateWage growth